[Machine Learning]–知識點匯總

1.邏輯回歸是線性還是非線性？

https://stats.stackexchange.com/questions/93569/why-is-logistic-regression-a-linear-classifier

2.邏輯回歸是回歸還是分類問題？

3.為什么要加activation 激活函數？

很好的回答 stackexchange

激活函數簡介 jianshu

非常好的實踐回答 csdn

4.為什么要用 SGD 而不用其他的求解？

https://www.reddit.com/r/MachineLearning/comments/3grtkz/why_multiple_epochs_are_needed_for_sgd/

5.為什么 momentum 會起效果？

https://distill.pub/2017/momentum/

6.為什么線性回歸有閉式解仍然需要用 GD?

https://stats.stackexchange.com/questions/278755/why-use-gradient-descent-for-linear-regression-when-a-closed-form-math-solution

7.What is incuced bias?

8.Bias-and-Variance tradedoff in machine learning?

談 bias-variance tradeoff blog

9.Batch-size and iterations trade off?

mini-batch v.s. whole:stackexchange

batch v.s. iterations stackexchange

10. What is covariate shift?

what is covariate shift? Quaro

Covariate Shift – Unearthing hidden problems in Real World Data Science? blog

A detectation example of covariate shift. experiment

11. What is label prorpogation?

標簽傳播算法及其 python 實現 csdn

12. VC維的相關知識?

《新程序員》：云原生和全面數字化實踐50位技術專家共同創作，文字、視頻、音頻交互閱讀

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